Utility-scale co-located hybrid power plants (HPPs) have received global attention due to enhanced controllability and efficient utilization of electrical infrastructure. While control mono-technology has been extensively studied over the past decades, HPP including sub-plants multiple technologies is yet be addressed. This paper fills such gap by proposing a novel hierarchical architecture for...

Recently, much attention has been spent on neural architecture search (NAS), aiming to outperform those manually-designed architectures high-level vision recognition tasks. Inspired by the success, here we attempt leverage NAS techniques automatically design efficient network for low-level image restoration In particular, propose a memory-efficient hierarchical (termed HiNAS) and apply it two s...